Regional-scale variation and distribution patterns of soil saturated hydraulic conductivities in surface and subsurface layers in the loessial soils of China

被引:91
|
作者
Wang, Yunqiang [1 ,2 ,3 ]
Shao, Ming'an [2 ]
Liu, Zhipeng [3 ,4 ]
Horton, Robert [5 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Shaanxi, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China
[4] Minist Water Resources, Yangling 712100, Peoples R China
[5] Iowa State Univ, Dept Agron, Ames, IA 50011 USA
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Land use; Soil texture; Principal component analysis; Minimum data set; Geostatistics; Soil hydraulic conductivity; SPATIAL VARIABILITY; ORGANIC-CARBON; INFILTRATION; FIELD; MOISTURE; QUALITY; GEOSTATISTICS; PARAMETERS; PLATEAU; IMPACT;
D O I
10.1016/j.jhydrol.2013.02.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Saturated hydraulic conductivity (K-s) is an important soil property that shows a high degree of spatial heterogeneity. There is a lack of research that investigates and determines Ks at a regional scale, due to the challenges associated with the required intensive sampling. To determine the closely correlated factors affecting K-s at a regional scale and to then generate a regional distribution map of K-s, we selected 382 sampling sites across the Loess Plateau of China (620,000 km(2)) and collected undisturbed and disturbed soil samples from two soil layers (0-5 and 20-25 cm). We found that both surface K-s and subsurface K-s had log(base 10)-normal distributions, and demonstrated strong spatial variability (CV = 206% and 135%, respectively). Surface LogK(s) was most closely correlated with LogSand, LogSilt, LogSG (slope gradient), LogSSWC (saturated soil water content), vegetation coverage and land use; while subsurface Logic was correlated with LogClay, SSWC, LogSG, LogAltitude, LogGY (growth year) and land use. Geostatistical analysis indicated that semivariograms of surface and subsurface Log K-s could be best fitted by an isotropic exponential model, with effective ranges of 204 km and 428 km, respectively. Distribution maps of K-s produced by kriging indicated a pronounced spatial pattern and demonstrated an obvious spatial depth gradient. The spatial distribution patterns of K-s at a regional scale in the loessial soils of China comprehensively reflected soil hydraulic properties and the combined effects of soil texture, vegetation, topography and human activities. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:13 / 23
页数:11
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